Oxygen Sequencer

Community

timscheuerai

oxygen-sequencer

Operate native OXYGEN Sequences for new conversations and outreach cadence, including sender readiness, previews, enrollment, dispatch and recovery.

Overview

Publisher	timscheuerai
Repository	`linkedin-funnel`
Skill name	`oxygen-sequencer`
Stars	60
Forks	20
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by timscheuerai on GitHub. Read the source before you install it.

Installation

Install the Oxygen Sequencer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/timscheuerai/linkedin-funnel/tree/main/skills/oxygen-sequencer
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/timscheuerai/linkedin-funnel.git /tmp/linkedin-funnel
mkdir -p .claude/skills
cp -r /tmp/linkedin-funnel/skills/oxygen-sequencer .claude/skills/oxygen-sequencer

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oxygen Sequencer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Oxygen Sequencer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Oxygen Sequencer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Operate the Sequence

Read the connection guide, qualification and the DM framework. Start with a reviewed cohort and a message grounded in each recipient's actual context.

New LinkedIn conversations belong to Sequences even for one recipient. Cadenced or multi-recipient outreach uses Sequences. Existing-thread replies and direct email without cadence use Messages.

Discover exact commands with oxygen capabilities search "preview outreach sequence" --json, then commands get for the selected operation.

Inspect these together:

Sender profiles, exact accounts/mailboxes, health, channel limits and stable recipient-to-sender binding.
Definition/version, ordered steps, delays, variants, send windows/time zone and any channel fallback.
Recipient identity, mapped variables, exclusions, suppression, prior-contact rules and tags.
Dispatch limits, lifetime budget, live-run cap, reply stops and bounce behavior.

Preview the actual recipient scope and render messages with their real variables. Report unresolved identities individually. A connected sender is not proof of readiness. If email sender setup or health is relevant, discover the current native commands and retrieve oxygen-email-infra or oxygen-deliverability through oxygen skills get; those optional procedures are not bundled here.

Enrollment and dispatch are separate actions. Inspect the selected Sequence's current state: draft or paused enrollments may remain pending, while an active Sequence may deliver after enrollment. Execute only the user's authorized send scope and current platform gates; a cap is not authorization.

Record enrollment, variant and run IDs. For results, inspect campaign events/analytics and preserve actual sender attribution; missing identity stays unattributed. Separate delivered messages, replies, qualified conversations and opportunities, preserving the source post where known.

For recovery, preview the narrow failed/deferred scope and reconcile provider outcomes before retrying. Pause/resume, retirement and capacity recovery have distinct semantics; discover them before acting. Return counts, held reasons, actual state, budget and deep-links.

Frequently asked questions

What does the Oxygen Sequencer AI skill do?

Operate native OXYGEN Sequences for new conversations and outreach cadence, including sender readiness, previews, enrollment, dispatch and recovery.

Why use Oxygen Sequencer on TypingMind?

Because you install it once and use it with any model. Oxygen Sequencer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Oxygen Sequencer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/timscheuerai/linkedin-funnel/tree/main/skills/oxygen-sequencer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Oxygen Sequencer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Oxygen Sequencer?

As many as you like. As long as a model supports skills, you can use Oxygen Sequencer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Oxygen Sequencer AI skill free?

Yes. It is published on GitHub by timscheuerai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Operate the Sequence

Frequently asked questions

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